| Change detection in hyperspectral images using recurrent 3D fully convolutional networks A Song, J Choi, Y Han, Y Kim Remote Sensing 10 (11), 1827, 2018 | 182 | 2018 |
| Deep learning-based hyperspectral image classification with application to environmental geographic information systems A Song, Y Kim Korean Journal of Remote Sensing 33 (6_2), 1061-1073, 2017 | 49 | 2017 |
| Fully convolutional networks with multiscale 3D filters and transfer learning for change detection in high spatial resolution satellite images A Song, J Choi Remote Sensing 12 (5), 799, 2020 | 31 | 2020 |
| Uncertainty analysis for object-based change detection in very high-resolution satellite images using deep learning network A Song, Y Kim, Y Han Remote Sensing 12 (15), 2345, 2020 | 30 | 2020 |
| Semantic segmentation of remote-sensing imagery using heterogeneous big data: International society for photogrammetry and remote sensing potsdam and cityscape datasets A Song, Y Kim ISPRS International Journal of Geo-Information 9 (10), 601, 2020 | 27 | 2020 |
| Discrepancy analysis for detecting candidate parcels requiring update of land category in cadastral map using hyperspectral UAV Images: A case study in Jeonju, South Korea S Park, A Song Remote Sensing 12 (3), 354, 2020 | 20 | 2020 |
| The impact of the PCA dimensionality reduction for CNN based hyperspectral image classification T Kwak, A Song, Y Kim Korean Journal of Remote Sensing 35 (6_1), 959-971, 2019 | 16 | 2019 |
| Change detection for high-resolution satellite images using transfer learning and deep learning network AR Song, JW Choi, YI Kim Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and …, 2019 | 16 | 2019 |
| Transfer change rules from recurrent fully convolutional networks for hyperspectral unmanned aerial vehicle images without ground truth data A Song, Y Kim Remote Sensing 12 (7), 1099, 2020 | 10 | 2020 |
| Automatic extraction of optimal endmembers from airborne hyperspectral imagery using iterative error analysis (IEA) and spectral discrimination measurements A Song, A Chang, J Choi, S Choi, Y Kim Sensors 15 (2), 2593-2613, 2015 | 10 | 2015 |
| Change detection of surface water in remote sensing images based on fully convolutional network A Song, Y Kim, Y Kim Journal of Coastal Research 91 (SI), 426-430, 2019 | 9 | 2019 |
| Shoreline change analysis with Deep Learning Semantic Segmentation using remote sensing and GIS data S Park, A Song KSCE Journal of Civil Engineering 28 (2), 928-938, 2024 | 7 | 2024 |
| A study on the improvement of geometric quality of KOMPSAT-3/3A imagery using PlanetScope imagery M Jung, W Kang, A Song, Y Kim Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and …, 2020 | 7 | 2020 |
| Vicarious radiometric calibration of RapidEye satellite image using CASI hyperspectral data AJ Chang, JW Choi, AR Song, YJ Kim, JH Jung Journal of Korean Society for Geospatial Information Science 23 (3), 3-10, 2015 | 7 | 2015 |
| Study of prediction model improvement for apple soluble solids content using a ground-based hyperspectral scanner A Song, W Jeon, Y Kim Korean Journal of Remote Sensing 33 (5_1), 559-570, 2017 | 5 | 2017 |
| Analysis of appropriate spectral similarity methods to classify target species using CASI hyperspectral images A Song, J Choi, Y Kim, Y Kim ACRS 2015-36th Asian Conf. Remote Sens. Foster. Resilient Growth Asia, Proc …, 2015 | 5 | 2015 |
| Evaluation of Clear Sky Models to Estimate Solar Radiation over the Korean Peninsula A Song, W Choi, C Yun, Y Kim Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and …, 2015 | 4 | 2015 |
| Hybrid approach using deep learning and graph comparison for building change detection S Park, A Song GIScience & Remote Sensing 60 (1), 2220525, 2023 | 3 | 2023 |
| Updating cadastral maps using deep convolutional networks and hyperspectral imaging AR Song, SA Park, YI Kim 40th Asian Conference on Remote Sensing: Progress of Remote Sensing …, 2019 | 3 | 2019 |
| Spectral mixture analysis using modified IEA Algorithm for forest classification A Song, Y Han, Y Kim, Y Kim Korean Journal of Remote Sensing 30 (2), 219-226, 2014 | 3 | 2014 |